Myeloma is well known to have significant genetic heterogeneity among patients' tumors, affecting both progression as well as therapeutic responses. Moreover, subclonal diversity can lead to selective outgrowths that are influenced by new mutations, as well as the bone marrow microenvironment and therapeutic exposures. The ras family of genes (N -and K-) are the most common mutations (40-50% ) in myeloma. Notably, ras mutations occur among a variety of other co-existing chromosomal abnormalities. Ras mutations were found to be more commonly associated with cyclin D1 high expression (e.g., resulting from 11;14 translocations). We and others have also shown that rasmutations may not be disease-initiating but may arise during disease progression and relapse; or are subclonal events that impart selective growth advantage and emerging drug resistance. There is evidence that activating mutations (codons 12,13, 61) in K- ras may have different clinical impact than activating mutations in N- ras yet there are conflicting clinical outcomes that may be due to therapies analyzed or differences in other co-existing genetic mutations. Previous studies using transfection of genes with targeted mutations show random integration and often in multiple copies, thus, limiting interpretations. We chose to create N ras61 and K ras12 mutations by CRISPR-cas directed edits in a single endogenous ras allele in a myeloma cell line (FLAM76) that initially had two wild type alleles (and an 11;14 translocation). We then compared the impact of these edits on growth, signaling, gene expression, and drug responses. We find both the mutN ras and mutK ras edited cells have increased proliferation compared to wild type. However, we find that the N ras mutation increases MAPK signaling and downstream gene activation to a greater extent than the K rasmutation. Based on RNAseq analysis, a MAPK gene activation score was higher in mutN ras edited cells than mutK ras edited cells. Further, we see distinct gene expression patterns between mutN ras versus mutK ras edited cells (See heat map Fig) impacting distinct pathways. Notably, mutNras cells have much higher NOXA expression, increasing sensitivity to apoptosis-inducing drugs (e.g., proteasome inhibitors); and Kras induces anti-apoptotic Bcl-xL, reducing sensitivity. We have conducted a high throughput drug screen with 84 drugs, and while some drugs are active against both mutN ras and mutK ras edits (Proteasome inhibitors), we have identified drugs with differential response to K versus N ras mutations. For example, mutK ras FLAM76 cells are more resistant to proteasome inhibitors; and particularly more resistant to HSP inhibitors and HDAC inhibitors compared to wild type or mutN ras cells. In contrast, mutK ras cells are more sensitive to PikFyve and IL-12 inhibitors than mutNras or wild type cells. Gene expression analysis shows that mutKras cells result in more downregulation of apoptotic genes and higher upregulation of cell survival genes, as well as ER stress pathway genes. Our results suggest that treating myelomas containing K versus N ras activating mutations may benefit from understanding distinct pathway activations and targeting selective drug therapies. We are currently testing new pan-Ras inhibitors to determine if there are distinct responses between our N- and K- ras edited cells, and we are expanding testing to a wider panel of myeloma cell lines containing ras mutations in the context of other genetic abnormalities. Details of gene expression distinctions, pathways, and drug responses that distinguish mutN ras and mutK ras in myeloma will be presented.
Beyond the Primary: Unveiling the Prognostic Value of Secondary Cytogenetic Abnormalities in Multiple Myeloma
Introduction Fluorescent In-Situ Hybridization (FISH) has been an indispensable tool to characterize the cytogenetic landscape of multiple myeloma (MM), mainly for identifying primary abnormalities such as heavy chain gene (IgH) translocations and odd-number chromosome trisomies. These aberrations play a crucial role in risk stratifying the disease given their correlation with disease aggressiveness, treatment response and overall prognosis. High-risk (HR) cytogenetics are identified through the presence of t(14;16), t(14;20) or loss of the p53 gene locus. Less is known about the prognostic implication of secondary abnormalities, in particular gain of 1q21. We aimed to evaluate the association between primary and secondary cytogenetic abnormalities and their impact on overall survival (OS) in MM patients. Methods We performed a retrospective analysis on a FISH records database from three Mayo Clinic campuses. Cohort included patients >18 years of age, diagnosed with multiple myeloma between 2005 and 2022, with FISH performed within two years of diagnosis. Demographics including age, date of diagnoses and OS data were retrieved from electronic medical records. Statistical analyses were done using BlueSky Statistics software. Study was conducted in accordance with the principles of the Declaration of Helsinki; informed consent was obtained from all participants. Results We analyzed a total of 2221 patients, among which 59.8% were male, with a median age of diagnosis 65 years. Hyperdiploidy was the most prevalent primary cytogenetic abnormality observed in 44.3% of patients, followed by t(11;14) as the most common translocation (23%), and t(4;14) (8.2%). Gain(1q21) was assessed in 925 patients, among which 64%, 30.3% and 5.7% had 2, 3 and ≥4 copies respectively. Furthermore, 11.4% (n=253) exhibited either mutated TP53 or del17p, and 37.8% (n=839) presented with 13q loss or monosomy 13. The median follow-up for the overall population was 102 months (8.5 years), with a median OS of 75.5 months. Patients with high-risk translocations had significantly shorter median OS of 40.01 months compared to 80.65 months for those with standard risk translocations (p <0.001). The presence of ≥4 1q copies was associated with significantly reduced overall survival (2 copies: not reached, 3 copies: 69.4 months, ≥4 copies: 40.1774; p <0.001). This was consistent even when considering the presence of high-risk translocations (Figure 1). To confirm the independent significance of these findings, we performed multivariate Cox regression models, incorporating age at diagnosis, year of diagnosis, gender, presence of hyperdiploid disease, and presence of high-risk translocations. Given that overall survival outcomes were analyzed irrespective of treatment received, we incorporated year of diagnosis as a variable to control for potential impact of evolving treatment regimens over the years. The presence of ≥4 1q copies was associated with reduced OS, with a hazard ratio (HR) of 2.12 (CI: 1.38-3.26; p <0.001). The presence of 3 copies also showed prognostic significance (HR: 1.43; p: 0.012). Similarly, both the presence of TP53mut/mon17 (HR: 1.96, CI: 1.66-2.31; p <0.001) and 13qdel/mon13 (HR: 1.21, CI: 1.08-1.38) were associated with decreased OS. On the other hand, 1p deletion did not have any significant prognostic implications (HR: 1.84, CI: 0.38-1.59; p 0.113). When incorporating all cytogenetic events into a multivariate model, variables associated with reduced OS included age at diagnosis, the presence of both of 3 and ≥4 1q copies, TP53mut/mon17, t(4;14), t(14;16) and t(14;20). However, 13qDel/mon13 lost significance when incorporated with other abnormalities (Table 1). Conclusion Our investigation sheds light on the less explored realm of secondary cytogenetic abnormalities and confirm a strong association between increasing number of 1q copies and reduced overall survival, independent of other cytogenetic abnormalities and treatment regimens. These results underscore the utility of FISH-based comprehensive cytogenetic profiling at baseline, which enables reliable identification of high-risk patients. Future prospective trials should further elucidate the pathogenic mechanism for these findings. Our analysis used OS as primary endpoint and included over 2000 MM patients, reinforcing the clinical relevance of our findings.
Trend in Von Willebrand Factor Profile in Women With Von Willebrand Disease During Pregnancy and Postpartum
Introduction: Pregnancy is considered a hypercoagulable state, with levels of multiple coagulation factors including Factor VIII (FVIII) and von Willebrand Factor (VWF), progressively increasing throughout, reaching their peak levels during the third trimester. However, in women with von Willebrand disease (VWD), these changes are variable and could be blunted or absent due to the wide heterogeneity of phenotypes and pathophysiological mechanisms linked to this disorder, posing a significant clinical challenge. This study aims to describe the trend in the VWF profile in women with VWD during each trimester of pregnancy and in the postpartum period. Methods: This is a retrospective single-center study that included adult pregnant women diagnosed with VWD, who were followed at Henry Ford Health between 03/2012 and 11/2022. Patients with other bleeding disorders were excluded from the study. Data on baseline characteristics, including age, race, age at childbirth, and parity were collected. Additional data collected included VWF antigen (VWF:Ag) level, FVIII activity level, and VWF ristocetin cofactor (VWF:Rco) activity during the first, second, and third trimesters, as well as in the postpartum period. Results: A total of 33 cases were included in our study. At baseline, the mean VWF:Ag level in our patients was 50.5% (reference range 50%-150%). Compared to baseline, the VWF:Ag level increased by 48.71% in the first trimester, 80.59% in the second trimester, and 168.71% in the third trimester. Postpartum, the VWF:Ag level decreased by 51.29% compared to the third trimester; however, it remained 30.89% higher than baseline levels. While the FVIII level (reference range 50%-150%) was an average of 64.8% at baseline, it increased by 21.91% in the first trimester, 74.23% in the second trimester, and 143.67% in the third trimester, compared to baseline. Postpartum, the FVIII level decreased by 48.45% from the third trimester but remained 25.62% higher than baseline. Additionally, the VWF:Rco level was an average of 44.3% (reference range 51%-215%) at baseline. Compared to baseline, the VWF:Rco level increased by 61.85% in the first trimester, 90.52% in the second trimester, and 142.66% in the third trimester. It decreased by 49.12% postpartum compared to the third trimester but remained 23.48% higher than baseline. Conclusion: In women with VWD, VWF:Ag level, FVIII level, and VWF:Rco levels steadily increase during pregnancy, reaching their maximum levels during the third trimester. All three levels decreased in the postpartum period; however, they remain higher compared to baseline at a median follow up of 105 days after delivery.
County‐Level Cardiologist Density and Mortality in the United States
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in the United States. Despite the availability of multiple screening options, CRC screening is underutilized. We conducted a survey of patients (n = 2973) who were prescribed the multi-target stool DNA (mt-sDNA) screening test (commercialized as Cologuard ® and manufactured by Exact Sciences Corporation) to understand attitudes and experiences that influence test completion and likelihood of future test completion. Using exploratory factor analyses, we developed three scales: Perceived Effectiveness, Perceived Ease of Use, and Perceived Comfort.
Standardizing nomenclature in regional anesthesia: an ASRA-ESRA Delphi consensus study of upper and lower limb nerve blocks
Background Inconsistent nomenclature and anatomical descriptions of regional anesthetic techniques hinder scientific communication and engender confusion; this in turn has implications for research, education and clinical implementation of regional anesthesia. Having produced standardized nomenclature for abdominal wall, paraspinal and chest wall regional anesthetic techniques, we aimed to similarly do so for upper and lower limb peripheral nerve blocks. Methods We performed a three-round Delphi international consensus study to generate standardized names and anatomical descriptions of upper and lower limb regional anesthetic techniques. A long list of names and anatomical description of blocks of upper and lower extremities was produced by the members of the steering committee. Subsequently, two rounds of anonymized voting and commenting were followed by a third virtual round table to secure consensus for items that remained outstanding after the first and second rounds. As with previous methodology, strong consensus was defined as ≥75% agreement and weak consensus as 50%–74% agreement. Results A total of 94, 91 and 65 collaborators participated in the first, second and third rounds, respectively. We achieved strong consensus for 38 names and 33 anatomical descriptions, and weak consensus for five anatomical descriptions. We agreed on a template for naming peripheral nerve blocks based on the name of the nerve and the anatomical location of the blockade and identified several areas for future research. Conclusions We achieved consensus on nomenclature and anatomical descriptions of regional anesthetic techniques for upper and lower limb nerve blocks, and recommend using this framework in clinical and academic practice. This should improve research, teaching and learning of regional anesthesia to eventually improve patient care.
Integrative Spatial Analysis of H&E and IHC Images Identifies Prognostic Immune Subtypes Correlated with Progression-Free Survival in Human Papillomavirus (HPV)-Related Oropharyngeal Squamous Cell Carcinoma
Abstract Although the majority of HPV (+) oropharyngeal squamous cell carcinoma (OPSCC) patients exhibit a favorable prognosis, approximately 20% face recurrent or metastatic disease, posing management challenges. Therefore, the identification of robust prognostic markers for risk stratification is essential. Our study focused on the comprehensive characterization of intratumor heterogeneity within the tumor immune microenvironment (TME) in both primary tumors and metastatic lymph nodes. Utilizing computational approaches, we integrated hematoxylin and eosin (H&E) and 11 adjacent immunohistochemistry (IHC)-stained slides to investigate the cellular composition and functional characteristics across different regions within the TME. Based on these detailed immune characteristics, we classified patients into specific immune subtypes. Our integrative TME analysis indicated that patients with high tumor-infiltrating lymphocytes (TIL), increased CD8 + levels, and reduced CD163 + cell counts within their primary tumors were likely to have a more favorable progression-free survival outcome. The integration of H&E and IHC data enhances the functional characterization of immune phenotypes of the TME with biological interpretability and improves patient stratification in HPV(+) OPSCC.
CTNI-17. APPLICATION OF THE GBM-X DATA PLATFORM TO ESTIMATE TREATMENT EFFECTS OF THE EXPERIMENTAL THERAPIES OF THE RANDOMIZED PHASE 2 INDIVIDUALIZED SCREENING TRIAL OF INNOVATIVE GLIOBLASTOMA THERAPIES
Abstract BACKGROUND Leveraging external data has the potential to increase efficiency and precision of drug development in glioblastoma by complementing or replacing data from in-trial controls. We used an external control arm (ECA) to re-analyze data of the abemaciclib, neratinib and CC-115 arms of the Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT) trial. METHODS INSIGhT (NCT02977780) is an ongoing phase 2 adaptive platform trial in newly diagnosed MGMT unmethylated glioblastoma with a shared control arm of patients receiving radiation therapy with concurrent and maintenance temozolomide. The initial experimental arms (abemaciclib, neratinib, CC-115) have not shown a survival benefit relative to the shared control arm. We re-analyzed the experimental arm data and replaced the shared control arm with an ECA. The ECA was developed from a collection of trial datasets and real-world data available through the Glioblastoma External (GBM-X) Data Platform (). Propensity score matching was used to adjust for possible differences between pretreatment covariates (age, sex, resection, KPS) in the ECA and shared control arm. Cox proportional hazards models were used to estimate treatment effects. RESULTS On INSIGhT, patients were randomized to abemaciclib (n = 74), neratinib (n = 80), and CC-115 (n = 12). There were 687 unmethylated MGMT patients in the GBM-X ECA. After propensity score matching, there was no significant treatment effect associated with abemaciclib (HR 1.091, 95%CI:0.834-1.433, p = 0.536), neratinib (HR = 1.043, 95%CI:0.787-1.383, p = 0.770), or CC-115 (HR 1.088, 95%CI:0.834-1.433, p = 0.794) compared to the ECA. CONCLUSION In comparison to an ECA, there was no significant survival benefit with abemaciclib, neratinib and CC-115. Treatment effects estimates were similar to the primary analyses based on the original shared control arm of INSIGhT. The use of external control arms in early phase testing of new therapies is supported by our findings and could significantly reduce costs and time to conduct trials in newly diagnosed glioblastoma.
Author response: Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Abstract Acute myeloid leukemia (AML) with TP53 mutations (TP53Mut) has poor clinical outcomes. We investigated whether this AML subtype harbors a distinct gene expression profile (GEP) and whether this GEP is prognostic in TP53 wild type (TP53WT) AML. We applied a supervised machine-learning approach to detect the TP53Mut GEP. We divided the samples in the Beat-AML dataset into training and testing datasets. The TCGA LAML dataset was used as a validation dataset. We trained a ridge regression machine learning model to classify TP53Mut and TP53WT cases. This model was highly accurate in distinguishing TP53Mut versus TP53WT cases in both the test and validation datasets. Additionally, we identified TP53WT samples with high ridge regression scores. These high-scoring TP53WT samples also have poor overall survival, suggesting they share clinical and GEP features with TP53Mut AML. We defined these TP53WT samples as TP53Mut-like. Using drug sensitivity data in the Beat AML dataset, we found TP53Mut-like AMLs have distinct drug sensitivity patterns that phenocopy TP53Mut cases. Finally, we identified a 25-gene signature that can identify TP53Mut-like AML. This signature could be used clinically to identify this novel subset of poor-prognosis AML.